The forecasting of air transport passenger demands in Turkey by using novel meta‐heuristic algorithms

Author:

Korkmaz Ersin1ORCID,Akgüngör Ali Payıdar1

Affiliation:

1. Engineering Faculty, Department of Civil Engineering Kirikkale University Kirikkale Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference62 articles.

1. DGCADirectorate general of civil aviation. Annual report; 2017.http://web.shgm.gov.tr/en/kurumsal/4006‐our‐annual‐reports.

2. Turkish Statistical InstituteAir Transport Statistics; 2018.http://www.turkstat.gov.tr/PreTablo.do?alt_id=1051.

3. GDSAAGeneral directorate of state airports authority; 2017 Havayolu Sektör Raporu; 2018.https://www.dhmi.gov.tr/Lists/DosyaYonetimiList/Attachments/581/2017Sektör Raporu.pdf.

4. Fitness Dependent Optimizer-Based Automatic Generation Control of Multi-Source Interconnected Power System With Non-Linearities

5. Chaotic coyote algorithm applied to truss optimization problems

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